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Bin Liang

4 papers hereh-index 492 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.RO2
same name
  • Bin Liang — 11 papers, h 5
  • Bin Liang — 6 papers
  • Bin Liang — 5 papers
  • Bin Liang — 5 papers, h 5
  • Bin Liang — 5 papers, h 1
  • Bin Liang — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedDEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2024

Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control

Yuxing Wang, Jie Li, Cong Yu +5

The emergence of modular satellites marks a significant transformation in spacecraft engineering, introducing a new paradigm of flexibility, resilience, and scalability in space ex…

cs.RO2024

Trajectory Planning for Teleoperated Space Manipulators Using Deep Reinforcement Learning

Bo Xia, Xianru Tian, Bo Yuan +3

Trajectory planning for teleoperated space manipulators involves challenges such as accurately modeling system dynamics, particularly in free-floating modes with non-holonomic cons…

cs.LG2024★ 2 cited

DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays

Bo Xia, Yilun Kong, Yongzhe Chang +4

Classic reinforcement learning (RL) frequently confronts challenges in tasks involving delays, which cause a mismatch between received observations and subsequent actions, thereby…

cs.LG2024

PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise

Qinglong Meng, Chongkun Xia, Xueqian Wang

Normalizing flow is a generative modeling approach with efficient sampling. However, Flow-based models suffer two issues: 1) If the target distribution is manifold, due to the unma…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.